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Models

WizardLM-2-8x22B

By alpindale. 140.6 billion parameters, a context window of 65,536 tokens and the licence apache-2.0.

Facts

Released
2024-04-16 the day the repository was first published on Hugging Face Hugging Face, read
Licence
apache-2.0 the licence the model card declares Hugging Face, read
Open weights
Yes the weights are published in this Hugging Face repository Hugging Face, read
Parameters
140.6 billion counted from the safetensors weight files Hugging Face, read
Active parameters
39.2 billion estimate estimated from the expert counts and sizes in the configuration model configuration, read
Knowledge cutoff
Unknown
Context window
  • 65,536 tokens the maximum position embeddings in the model configuration model configuration, read
Longest output
Unknown
Tool calling
  • No the chat template in the tokenizer configuration has no place for tool definitions Hugging Face, read
Structured output
Unknown
Reasoning controls
Unknown
Inputs and outputs
text in, text out Hugging Face, read
Good for
No source names a use.

Prices

No source lists a price for this model. It may only run on your own hardware.

Run it on your own hardware

Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.

QuantizationWeightsMemory at 8,192 tokensMemory at 32,768 tokens
IQ1_S27.6 GiB31.2 GiB36.5 GiB
IQ1_M30.5 GiB34.3 GiB39.5 GiB
IQ2_XXS35.3 GiB39.3 GiB44.5 GiB
IQ2_XS39.1 GiB43.3 GiB48.6 GiB
IQ2_S39.7 GiB43.9 GiB49.2 GiB
IQ2_M43.5 GiB47.9 GiB53.2 GiB
Q2_K_S44.8 GiB49.3 GiB54.5 GiB

Start it with a local runtime

  • Ollama
    ollama run hf.co/mradermacher/WizardLM-2-8x22B-i1-GGUF:IQ1_S
  • LM Studio
    lms get mradermacher/WizardLM-2-8x22B-i1-GGUF
    lms server start
  • llama.cpp server
    llama-server -hf mradermacher/WizardLM-2-8x22B-i1-GGUF:IQ1_S --jinja
  • vLLM
    vllm serve alpindale/WizardLM-2-8x22B
  • SGLang
    sglang serve --model-path alpindale/WizardLM-2-8x22B --port 30000

Use it from your harness

No endpoint in this directory serves this model yet.

Published results

These are results other people published. Baltor did not run them and does not rank models by them.